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Zig Cross

Checked
mohitmishra786·vlatest·other·MIT

Zig Cross generates concise, well-formatted Zig code snippets for common tasks, boosting developer productivity and streamlining development workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mohitmishra786/low-level-dev-skills --skill zig-cross -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mohitmishra786

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mohitmishra786/low-level-dev-skills at bdc58472fa.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
bdc58472fa
Manifest
skills/zig/zig-cross/SKILL.md
Scanned
2 files, 323 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The zig-cross skill enables AI agents to perform cross-compilation using Zig. It allows you to build executables for different target platforms from a single codebase, streamlining development and deployment across diverse environments. This is particularly useful when targeting embedded systems or operating systems with specific architectures.

When to use it

  • Embedded Systems Development: Compile your Zig code for microcontrollers and other resource-constrained devices.
  • Cross-Platform Applications: Build applications that run on Windows, macOS, Linux, and potentially even WebAssembly from a single project.
  • Targeting Specific Architectures: Generate binaries tailored to particular CPU architectures (e.g., ARM, RISC-V).
  • Automated Build Pipelines: Integrate cross-compilation into automated build processes for consistent and reproducible builds across different platforms.

Key capabilities

  • Cross-compilation using Zig
  • Targeting multiple platforms
  • Building executables for diverse architectures

Example prompts

  • "Compile this Zig code for ARM64 Linux."
  • "Generate a Windows executable from my Zig project."
  • "Build a WebAssembly module from this Zig source."

Tips & gotchas

The agent needs access to a Zig compiler toolchain configured for the target platform. Ensure that the necessary SDKs and build tools are available in the environment where the AI agent is operating.